CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Tracking Inflammation in CAR-T Therapy: The Emerging Role of Serum Amyloid A (SAA).
Tracking Inflammation in CAR-T Therapy: The Emerging Role of Serum Amyloid A (SAA).
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嵌合抗原受体(CAR)T细胞疗法已彻底改变复发/难治性大B细胞淋巴瘤(LBCL)的治疗,但其应用常伴有细胞因子释放综合征(CRS)。白细胞介素-6(IL-6)常用于监测CRS,但使用托珠单抗后,其临床价值会降低。本研究旨在评估血清淀粉样蛋白A(SAA)这一动态急性期反应物,能否作为CAR-T 受者不受治疗干扰的炎症和毒性生物标志物。
本回顾性研究纳入43例接受axicabtagene ciloleucel治疗的LBCL成人患者。研究者从淋巴细胞清除治疗至输注后第+11天检测SAA及其他炎症标志物。CRS和免疫效应细胞相关神经毒性综合征(ICANS)按照ASTCT标准分级。统计分析包括Mann-Whitney U检验、Spearman相关分析及受试者工作特征(ROC)曲线分析,以评估预测性能。
SAA水平在第+4天达到峰值,并于第+11天恢复正常,呈波浪式变化。早期时间点中,发生任何级别CRS的患者SAA水平显著较高,但与ICANS无关。SAA与CRP、suPAR、sST2、纤维蛋白原、铁蛋白、降钙素原及IL-6均呈强相关。与IL-6相比,SAA在第+2天和+4天对CRS的预测能力更强,且不受托珠单抗影响。基线SAA还与mEASIX评分相关,提示其可能与内皮应激有关。3个月PET检查未应答者的基线SAA高于应答者(196.0比17.7 mg/L,p=0.036);ROC分析显示曲线下面积(AUC)为0.74,最佳阈值为79.8 mg/L。
SAA是可靠且动态的全身炎症指标,在CAR-T 治疗中可能用于毒性监测和疗效预测。其不受IL-6调节治疗影响的特点,使其有望纳入未来的临床决策流程。
Background : Chimeric antigen receptor (CAR) T-cell therapy has revolutionized treatment of relapsed/refractory large B-cell lymphoma (LBCL), but its administration is often complicated by cytokine release syndrome (CRS). Interleukin-6 (IL-6) is widely used to monitor CRS, though its clinical value diminishes after tocilizumab administration.
We aimed to evaluate serum amyloid A (SAA), a dynamic acute-phase reactant, as a treatment-independent biomarker of inflammation and toxicity in CAR-T recipients. Methods : This retrospective study included 43 adults with LBCL treated with axicabtagene ciloleucel. SAA and other inflammatory markers were assessed from lymphodepletion through day +11 post-infusion. CRS and ICANS were graded per ASTCT criteria. Statistical analyses included Mann-Whitney U tests, Spearman's correlation, and ROC curve analysis to evaluate predictive performance. Results : SAA levels peaked at day +4 and normalized by day +11, displaying wave-like kinetics. Levels were significantly higher in patients with any-grade CRS at early timepoints but showed no association with ICANS.
SAA correlated strongly with CRP, suPAR, sST2, fibrinogen, ferritin, procalcitonin, and IL-6. Compared to IL-6, SAA was more predictive of CRS at day +2 and +4, and unaffected by tocilizumab. Baseline SAA also correlated with the mEASIX score, suggesting linkage to endothelial stress. Non-responders at 3-month PET had higher baseline SAA than responders (196. 0 vs. 17. 7 mg/L, p = 0.
036), with ROC analysis yielding an AUC of 0. 74 and an optimal threshold of 79. 8 mg/L. Conclusions : SAA is a robust and dynamic marker of systemic inflammation, with potential utility in both toxicity monitoring and response prediction in the CAR-T setting. Its independence from IL-6 modulation positions it as a promising biomarker for future integration into clinical algorithms.
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